Visual tools to assess the plausibility of algorithm-identified infectious disease clusters: an application to mumps data from the Netherlands dating from January 2009 to June 2016

INTRODUCTION: With growing amounts of data available, identification of clusters of persons linked to each other by transmission of an infectious disease increasingly relies on automated algorithms. We propose cluster finding to be a two-step process: first, possible transmission clusters are identi...

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Dettagli Bibliografici
Pubblicato in:Euro Surveill
Autori principali: Soetens, Loes, Backer, Jantien A., Hahné, Susan, van Binnendijk, Rob, Gouma, Sigrid, Wallinga, Jacco
Natura: Artigo
Lingua:Inglês
Pubblicazione: European Centre for Disease Prevention and Control (ECDC) 2019
Soggetti:
Research
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6440581/
https://ncbi.nlm.nih.gov/pubmed/30914076
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2807/1560-7917.ES.2019.24.12.1800331
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